The Mapping team at Zoox Perception develops state-of-the-art CV/ML models to perceive highly accurate HD maps. Our products are critical to enabling autonomy in complex environments in a safe and reliable manner.
As part of this team, you will design and implement models and algorithms to predict HD map elements, in 3D or orthographic visual feature representations, via multisensor fusion. Elements of interest include traffic lights and signs, lanes, curbs, dividers, their 3D structure, and the topological relationships between them.
We are looking for engineers who are ambitious and passionate about contributing to a technically challenging and safety critical world changing product.
In this role, you will:
- Train and develop state of the art HD map prediction models.
- Develop algorithm and ML model for sensor fusion.
- Develop algorithm and tooling for data mining, dataset building and dataset analysis.
- Write on-vehicle software for model inference and model result post processing.
- Work with Mapping team to automate map creation process
Qualifications
- Strong math background and be comfortable with C++/Python
- Experience working with modern ML frameworks like PyTorch
- Knowledge of computer vision techniques and machine learning
Bonus Qualifications
- Experience with HD mapping, multiview geometry, 3D reconstruction, 3D representations, SLAM, sensor fusion, or object detection
Compensation
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $173,000 to $278,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
